After following this course, the student will be able to:
Apply several important chemometric data analysis techniques and principles to analytical chemical data,
Design a comprehensive data analysis strategy consistent with the conducted experiment,
Translate the results of this strategy into experimentally-relevant information,
Communicate these results orally and written to an audience of peer scientists/students
The complexity of chemical data or parameters to be optimized in scientific experiments is rising exponentially. For example, data from the 'omics' technologies in systems biology provide the researcher with an unsurpassed view on all genes, proteins and metabolites in a living organism. Also in (bio)reaction process modelling and optimization, the number of parameters to be optimized can increase drastically and requires specialized optimization techniques and techniques to interpret the results. The relevant information cannot be extracted by eye or 'simple' data analysis, but requires advanced, multivariate data analysis methods. Even the basic multidimensional chemometrical data analysis techniques can be insufficient.
This course focuses on the diversity of more advanced multivariate data analysis techniques and their relevance for research questions in the natural sciences. The course is a follow-up of the bachelor "Chemometrics" course or the "Omics" course from the "Chemistry for Life" Master Track, in which only the basic techniques are studied. The underlying theories will be taught and practiced and time will be devoted on a proper set up of the data analysis strategy and interpretation of the results.
During the course (real life) examples will be provided. In addition, each student selects a case study for which he/she has to develop a data analysis strategy and execute part of this strategy using routines supplied during the course.
We encourage students from all fields of Natural Sciences to participate, as the principles raised in the course apply to all branches of quantitative research. Either the course Omics or Chemometrics is required to follow this course.